Introduction to Data Analysis

In this 10-week Intensive, you’ll learn the data skills you need for your job including how to make data visualizations with Matplotlib, analyze A/B tests with Numpy and SciPy, and manipulate data with SQL and Pandas.

What You'll Learn in
Introduction to Data Analysis

Businesses increasingly create, track and rely on data. Your ability to get a “yes” often depends on your ability to get proof. In this course, you’ll learn hypothesis & A/B testing, SQL that allows you to query databases, data visualization basics, and simple, yet sound analysis techniques. Take these skills to the real world in your capstone project with a presentation that synthesizes your findings and prepares you to make an argument in a professional setting. Along the way you’ll be guided by mentors, join a community of learners and complete 12 other projects.

Unit 1

Data Visualization with Matplotlib

Create detailed graphs with Matplotlib to present your data findings

Easy

Unit 2

Data Analysis with Pandas

You can load, inspect and modify data with Pandas, a python library, and perform advanced data analysis.

Medium

Unit 3

Basic Statistics with Numpy

Explore basic statistics and describe real data with integrity

Medium

Unit 4

Comparative Statistics with Scipy

Design A/B tests and prove significance to make data-driven decisions

Challenging

Unit 5

Data Acquisition with SQL

Start with SQL basics and move into advanced queries turning large data sets into specific findings

Easy

What makes Codecademy Pro Intensive different?

“This Intensive was written by teachers who are also Data Scientists. Our first priority is making the material fun, accessible, and relevant to anyone - not just folks with PhDs in math and science. In an increasingly data-driven world, this course will help you feel empowered to work with Big Data and make Big Decisions.”

The Capstone Project You’ll Use in Your Career

You’ll be able to choose from two different capstone projects: In Project 1, you’ll explore customer retention by running an A/B test for a chain of gyms and present your findings and optimizations. In Project 2, you’ll analyze data for patterns by looking at endangered species for the National Parks Service.For both projects, you’ll create a presentation, and optionally record yourself giving it.